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Intro to Data Analysis

Utah Valley University - BIOL3100

Course GitHub Repository

Course Syllabus

Shared Course Notes

(Anyone with link can edit) #### The philosophy of this course


Table of Contents

Week 1 | Week 5 | Week 9 | Week 13

Week 2 | Week 6 | Week 10 | Week 14

Week 3 | Week 7 | Week 11 | Week 15

Week 4 | Week 8 | Week 12 | Week 16


The Command Line, File Paths, Git

Week 1

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Week 2

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Getting to Know R

Week 3

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Week 4

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Visualizing a Data Set

Week 5

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Clean and Transform Data

Week 6

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Week 7

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Getting More From R

Week 8

  • Topics
    • Writing Functions | Conditional Execution | source()
  • Assignments
  • Resources
  • Practice
    • Write a function that returns the min, max, and mean of any set of real numbers
    • Write a function that takes a data frame and returns a new data frame with one random column removed
    • Write a function that takes a data frame… if there are more than 3 columns, your function should return the column names as-is; if there are 3 or fewer columns, your function should return the column names in reverse order.
    • Write a useful function that you might want to use in the future (your choice)
    • Put all of these functions into a new R script and save it in your main data course repository
    • In a new empty R script, call your functions with source() and test them out

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Model Building and Testing

Week 9

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Week 10

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Communicating Your Results

Week 11

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Week 12

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Putting it all together

Week 13

  • Topics
    • Data Analysis from raw to report
  • Assignments
    • We will work together in class to do a complete analysis in real-time
  • Resources
  • Practice
    • Analyze the “esoph” data set and generate a markdown report

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Week 14

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Week 15

  • Topics -TBD
  • Assignments
    • Work on Final Project

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Week 16

  • Topics
    • TBD
  • Assignments
    • Exam 4 (Redo any previous exam to replace it’s score)

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